AI-Driven Stock Prediction and Investment Strategy Analysis for the Magnificent 7 Tech Giants
Abstract
This study aims to predict stock prices and develop optimized investment strategies for the "Magnificent 7" companies using AI. By employing Linear Regression, Random Forest, XGBoost, and LSTM models, the study analyzed stock price data for Apple, Amazon, Google, Meta, Microsoft, Nvidia, and Tesla from 2015 to the first half of 2024, along with VIX index and bond yield data. The accuracy of predictions for each model was assessed, and simulations were conducted to observe which model would achieve the highest returns when applied to actual investments. The results showed varying levels of predictive accuracy and performance for each stock, leading to the conclusion that a hybrid approach combining AI and traditional investment strategies could be effective.
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Keywords
Details
| Section | Articles |
| Issue | Vol. 1 No. 1 (2024): Volume 1 Issue 1 (Inaugural Issue) |
| Published | 2024-11-15 |
| Pages | 14-25 |
- LG Electronics / Professional, Global DX Tast
- Aalto University Executive Master of Business Administration
- Seoul School of Integrated Sciences & Technologies (aSSIST) AI∙Big Data Master of Engineering
- Areas of Interest : AI, Digital Transformation, AI Ethics, Data Analysis, Smart Farm and etc.
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.